Junior AI Engineer

nou Systems, Inc.

. Develop, train, and analyze machine learning models for supervised learning and reinforcement learning .

Posted 10/8/2026full-timeUnited StatesJunior💰 $70,000 - $125,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and analyzing machine learning models, particularly in supervised and reinforcement learning, while effectively communicating results to diverse teams. Proficient in Python programming and MLOps practices, with a strong foundation in deep learning frameworks and algorithms.

Highest-signal resume keywords

Machine Learning Model DevelopmentDeep Learning ExperienceMLOps Pipeline DevelopmentPython ProgrammingActive Secret Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningReinforcement LearningDeep LearningStatistical AnalysisTime Series DataGraph Neural NetworksQ-LearningActor-Critic MethodsTraining Dataset DesignData Visualization

Soft Skills

Written CommunicationVerbal CommunicationTeam CollaborationIntellectual CuriositySelf-Direction

Tools & Technologies

PyTorchTensorFlowJAXOpenAI GymnasiumRay RLlibPyTorch LightningOptunaMLflowGitDocker

Certifications & Qualifications

Active Secret Clearance

Industry Keywords

AI DevelopmentMLOpsDevOpsRemote ComputingSatellite Imagery

Tech Stack

Tools & technologies

DockerPythonPyTorchRayTensorflow

About the role

Key responsibilities & impact

Develop, train, and analyze machine learning models for supervised learning and reinforcement learning
Help identify and design training datasets
Implement and customize machine learning models from open literature
Develop MLOps pipelines
Visualize and communicate results in written documents and oral presentations
Support multiple teams
Educate non-data-science teams on the value and limitations of machine learning solutions
Work on varied machine learning projects with other data scientists and technical teams

Requirements

What you’ll need

Bachelor’s degree in a STEM field
Academic, internship, or professional experience with AI development (RL, XAI, LLM)
1-3 years of hands-on experience with deep learning models (supervised, unsupervised, and reinforcement learning)
Experience using PyTorch, TensorFlow, or JAX
Must possess or be able to obtain an active Secret clearance
Hands-on experience with deep learning models
Software development fundamentals in Python
Great written and verbal communication skills
Ability to work effectively with teammates
Ability to write clean deep learning code in Python
Ability to approach problems with statistical rigor
Strong intellectual curiosity
Comfort with self-direction
Experience with time series data, satellite imagery, and graph neural networks
Experience with RL development using OpenAI Gymnasium and Ray RLlib
Experience with RL algorithms, including Q-Learning and Actor-Critic methods
Experience with MLOps tools such as PyTorch Lightning, Optuna, and MLflow
Experience with DevOps tools such as Git, GitLab, CI/CD, remote computing, and Docker
U.S. citizenship is required for most positions

Benefits

Comp & perks

Competitive wages
Medical, Rx, Dental & Vision Insurance
Medical plan with Health Savings Account eligibility
Company-funded Life, Short-Term & Long-Term Disability Insurance
Personal Time Off, Vacation, and Paid Holidays
401(k) Retirement Plan
Employee Stock Ownership Plan (ESOP)
Flexible Spending Accounts
Norton LifeLock
Tuition Reimbursement
Personal Development, Technical Learning Opportunities, & Lunch-n-Learns
Corporate Sponsored Events & Community Outreach
Significant advancement and personal career development opportunities